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MBE Advance Access originally published online on June 4, 2008
Molecular Biology and Evolution 2008 25(8):1778-1787; doi:10.1093/molbev/msn130
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© The Author 2008. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Research Articles

Compensatory Evolution in RNA Secondary Structures Increases Substitution Rate Variation among Sites

Jennifer L. Knies*,{dagger},2,3, Kristen K. Dang{ddagger},3, Todd J. Vision*, Noah G. Hoffman§,1, Ronald Swanstrom|| and Christina L. Burch*

* Department of Biology, University of North Carolina, Chapel Hill
{dagger} Curriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill
{ddagger} Department of Biomedical Engineering, University of North Carolina, Chapel Hill
§ Department of Microbiology and Immunology, University of North Carolina, Chapel Hill
|| Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill
The UNC Center for AIDS Research, University of North Carolina at Chapel Hill

E-mail: Jennifer_Knies{at}brown.edu.

Accepted for publication May 30, 2008.

There is growing evidence that interactions between biological molecules (e.g., RNA–RNA, protein–protein, RNA–protein) place limits on the rate and trajectory of molecular evolution. Here, by extending Kimura's model of compensatory evolution at interacting sites, we show that the ratio of transition to transversion substitutions ({kappa}) at interacting sites should be equal to the square of the ratio at independent sites. Because transition mutations generally occur at a higher rate than transversions, the model predicts that {kappa} should be higher at interacting sites than at independent sites. We tested this prediction in 10 RNA secondary structures by comparing phylogenetically derived estimates of {kappa} in paired sites within stems ({kappa}p) and unpaired sites within loops ({kappa}u). Eight of the 10 structures showed an excellent match to the quantitative predictions of the model, and 9 of the 10 structures matched the qualitative prediction {kappa}p > {kappa}u. Only the Rev response element from the human immunovirus (HIV) genome showed the reverse pattern, with {kappa}p < {kappa}u. Although a variety of evolutionary forces could produce quantitative deviations from the model predictions, the reversal in magnitude of {kappa}p and {kappa}u could be achieved only by violating the model assumption that the underlying transition (or transversion) mutation rates were identical in paired and unpaired regions of the molecule. We explore the ability of the APOBEC3 enzymes, host defense mechanisms against retroviruses, which induce transition mutations preferentially in single-stranded regions of the HIV genome, to explain this exception to the rule. Taken as a whole, our findings suggest that {kappa} may have utility as a simple diagnostic to evaluate proposed secondary structures.

Key Words: molecular evolution • RNA secondary structure • compensatory evolution • transition–transversion ratio


1 Present address: Department of Laboratory Medicine, University of Washington.

2 Present address: Department of Ecology and Evolutionary Biology, Brown University.

3 J.L.K. and K.K.D. contributed equally to this work.

Jeffrey Thorne, Associate Editor


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